R/CohortMethod.R

In escott12/CohortMethod: New-User Cohort Method with Large Scale Propensity and Outcome Models

# @file CohortMethod.R
#
# Copyright 2021 Observational Health Data Sciences and Informatics
#
# This file is part of CohortMethod
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

#' @keywords internal
"_PACKAGE"

#' @importFrom Rcpp evalCpp
#' @importFrom SqlRender loadRenderTranslateSql translateSql
#' @importFrom survival survfit Surv
#' @importFrom grDevices rgb
#' @importFrom methods is
#' @importFrom stats aggregate coef confint pnorm predict printCoefmat qnorm quantile rexp rpois runif sd time density lm start
#' @importFrom utils setTxtProgressBar txtProgressBar read.csv
#' @importFrom graphics text
#' @importFrom rlang .data
#' @import Cyclops
#' @import DatabaseConnector
#' @import FeatureExtraction
#' @import Andromeda
#' @import dplyr
#' @useDynLib CohortMethod
NULL

#' A simulation profile
#' @docType data
#' @keywords datasets
#' @name cohortMethodDataSimulationProfile
#' @usage
#' data(cohortMethodDataSimulationProfile)
NULL

cache <- new.env()